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MP-RAVE: IR-Prepared T 1 -Weighted Radial Stack-of-Stars 3D GRE imaging with retrospective motion correction.

Authors :
Solomon E
Lotan E
Zan E
Sodickson DK
Block KT
Chandarana H
Source :
Magnetic resonance in medicine [Magn Reson Med] 2023 Jul; Vol. 90 (1), pp. 202-210. Date of Electronic Publication: 2023 Feb 10.
Publication Year :
2023

Abstract

Purpose: To describe an inversion-recovery T <subscript>1</subscript> -weighted radial stack-of-stars 3D gradient echo (GRE) sequence with comparable image quality to conventional MP-RAGE and to demonstrate how the radial acquisition scheme can be utilized for additional retrospective motion correction to improve robustness to head motion.<br />Methods: The proposed sequence, named MP-RAVE, has been derived from a previously described radial stack-of-stars 3D GRE sequence (RAVE) and includes a 180° inversion recovery pulse that is generated once for every stack of radial views. The sequence is combined with retrospective 3D motion correction to improve robustness. The effectiveness has been evaluated in phantoms and healthy volunteers and compared to conventional MP-RAGE acquisition.<br />Results: MP-RAGE and MP-RAVE anatomical images were rated "good" to "excellent" in overall image quality, with artifact level between "mild" and "no artifacts", and with no statistically significant difference between methods. During head motion, MP-RAVE showed higher inherent robustness with artifacts confined to local brain regions. In combination with motion correction, MP-RAVE provided noticeably improved image quality during different head motion and showed statistically significant improvement in image sharpness.<br />Conclusion: MP-RAVE provides comparable image quality and contrast to conventional MP-RAGE with improved robustness to head motion. In combination with retrospective 3D motion correction, MP-RAVE can be a useful alternative to MP-RAGE, especially in non-cooperative or pediatric patients.<br /> (© 2023 International Society for Magnetic Resonance in Medicine.)

Details

Language :
English
ISSN :
1522-2594
Volume :
90
Issue :
1
Database :
MEDLINE
Journal :
Magnetic resonance in medicine
Publication Type :
Academic Journal
Accession number :
36763847
Full Text :
https://doi.org/10.1002/mrm.29614